Note: The job is a remote job and is open to candidates in USA. Dice is a company seeking an Agentic AI Architect / Forward Deployed Engineer. The role focuses on designing and developing AI/ML applications, requiring strong programming and architecture skills, along with practical experience in implementing end-to-end AI/ML solutions.
Responsibilities
- Minimum 6+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applications
- Strong handson programming experience (Python required) with the ability to design and implement productionready solutions (experience in JS/NodeJS or .NET/C# is a plus)
- Architecture and systemdesign experience, with a proven track record of translating designs into working code (must still code 50 70% of the time)
- Practical experience implementing AI/ML solutions endtoend, including data preparation, model usage, and integration into applications (using frameworks like ScikitLearn, TensorFlow, or PyTorch)
- Experience designing and building scalable ML/AI systems using APIs, microservices, and eventdriven patterns with direct handson implementation responsibility
- Strong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systems
- Cloudnative experience (Azure/AWS) with handson deployment, debugging, and performance tuning of AI workloads
- Solid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readiness
- Individual contributor role no people management; must personally design, code, debug, and support solutions
Skills
- Minimum 6+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applications
- Strong handson programming experience (Python required) with the ability to design and implement productionready solutions
- Architecture and systemdesign experience, with a proven track record of translating designs into working code (must still code 50 70% of the time)
- Practical experience implementing AI/ML solutions endtoend, including data preparation, model usage, and integration into applications (using frameworks like ScikitLearn, TensorFlow, or PyTorch)
- Experience designing and building scalable ML/AI systems using APIs, microservices, and eventdriven patterns with direct handson implementation responsibility
- Strong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systems
- Cloudnative experience (Azure/AWS) with handson deployment, debugging, and performance tuning of AI workloads
- Solid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readiness
- Individual contributor role no people management; must personally design, code, debug, and support solutions
- Experience in JS/NodeJS or .NET/C# is a plus
Company Overview
Company H1B Sponsorship